Pie and Doughnut Plots

The Pie and Doughnut plots are suitable to show how the parts of a whole compare to each other in size.

A Pie plot encodes Data Values into disks divided into slices.
A Doughnut plot encodes Data values into rings divided into segments.

In both cases, the slice or segment's arc length is proportional to the corresponding part of the Data Value. The examples below emphasize Data Values with a bold font and their Parts - with an italic font. Also, we will use the term circular sector for both disk slices and segments of a ring.

Single Value Pie Plot

A single value pie plot visualizes parts of one data value.

For instance, the Pie Plot Demo shows contribution of product categories into the Net Sales.

Multiple Value Doughnut Plot

You could also display several values divided into common parts using a Pie or Doughnut plot.

For example, the Doughnut Plot Demo shows contribution of product categories into the Discounts, Returns, and Unit Cost.

Circular Bar Plot

This configuration places doughnut segments next to each other, creating a circular-shaped bar plot.

For instance, the Circular Bar Plot Demo shows contribution of sales channels into the Net Income.

You can configure all these types using the Pie template and its properties described in the following sections. The Doughnut template is just a shortcut to a pre-configured Inner Radius property value.

You can use the following demos to explore plot properties - open a link, toggle the Report explorer, select the Plot - Plot 1 node and use the Properties panel to modify the configuration.

You could also download the report files listed below and open them in the Standalone Report Designer.

Data Values

The Values collection of a Pie plot determines the data value you want to break down into parts. The collection items consist of two properties:

The Value is usually a bound field reference. Note: This property is the collection, but the Pie plot takes the first item only.
The Aggregate is an optional function, such as Count or Average, that reduces many field values into a single one.

For instance, the Pie Plot Demo has the Value={SalesAmount}, Aggregate=Sum Data Value.

Details Encoding

The Details Encoding breaks down data values into parts specified in the Details collection of items consisting of several properties:

The Values is usually one or more bound field references. Bound DataSet Records with the same values of these fields fall into the same part. Data Values within each part are reduced into a single value by applying the Aggregate function. For instance, in the Pie Plot Demo, the Details value is {ProductCategory}. Consequently, the disk representing the Net Sales breaks down into multiple circular sectors corresponding to distinct product categories.
The Exclude Nulls flag indicates whether DataSet Records with an undefined Details Value should be excluded from the visualization.
The Group property determines how the plot arranges circular sectors.
- Stack - This is the default value. The Pie Plot divides disks into slices. The Doughnut Plot divides rings into segments.
- Cluster - A plot places circular sectors next to each other creating a Circular Bar.
- None - equals to Stack.
The Sorting configuration determines the order of circular sectors appearance.

Note: The Pie plot takes only the first item of the Details collection and ignores the rest

Colors Encoding

The Colors Encoding enables the color legend of the Details Encoding and includes the Color expression and the optional Color Aggregate function that reduces many Color values into a single one.

The plot calculates distinct Color Encoding results for parts produced by the Details Encoding, converts them to fill color of corresponding circular sectors, and displays the match between colors and encoding results in the legend. Colors come from the Chart Palette.

For instance, the Pie plot demo uses the {ProductCategory} expression for the Colors Encoding. Consequently, the report output shows the colors legend that matches Product Categories with the corresponding slices' fill color.

Note: The Color property is the collection, but the Pie plot takes the first item only.

Plot look-and-feel

The following properties allow you to fine-tune the outfit of circular sectors that form a Pie, Doughnut, or Circular Bar plot. You can see their effect in action by modifying the configuration of any demo.

The Opacity is a number in percentage that determine the opacity of circular sectors filled with color. 100% means they are opaque, and 0% means that they are entirely transparent.

The Inner Radius is a number in percentage of the outer radius that defines the size of a hole in the center of the disk. For instance, in the Doughnut Plot Demo, this property is set to 20%.

The Offset is a number in the percentage of the arc length that defines the size of the gap between circular sectors in a Pie or Doughnut plot. Try setting this property to 10% in the Pie Plot Demo to see its effect.

The Start Angle is a number in arcdegree that defines the rotation of the plot clockwise. Full rotation is 360 degrees.

The Sweep is a number in arcdegree from 0 to 360 that determines the arc length occupied by the plot. For example, in the Circular Bar Plot Demo, this property is set to 270.

The Clipping Mode indicates the manner that the plot area draws a plot:

Fit value means that the plot area should use all the available space to fit the plot
Clip value means that the plot area cuts off the plot on the edge of its right or bottom padding
None value equals to Fit

The line properties in the Style section determine the appearance of circular sectors borders.

The color expression in the Background section sets the fill color of circular sectors and overwrites the Color Encoding described earlier.

Circular sectors can display tooltips and labels with the following content that you can set up using the Tooltip Template and Label Text Template expressions, respectively.

You can choose one of the following values in the drop-down list.

Value Field Name usually means the field name bound to a Data Value.
Value Field Value means the current Data Value within the containing Category or Details.
Percentage In Details means the percentage share of the current Data Value among all the values with the same Details.
Details Field Name usually means the field name bound to the Details Encoding.
Details Field Value means the current Details Encoding value.
Color Field Name usually means the field name bound to the Color Encoding.
Color Field Value means the current Color Encoding value.

Also, you could use the template's Expression Editor to set the formatting for these values using the interpolation syntax and supported formatted strings. For instance, you can set the Label Text Template to {valueField.value:C2} in the Pie Plot Demo to display Net Sales per product category as currency.

Labels Appearance

A subset of text properties in the Label Text section and the line properties in the Label Border section allow you to set up the corresponding visual parameters of the plot labels.

The Label Position and an optional Offset in pixels determine the location of labels relative to a parent circular slice:

Inside - on the edge
Outside - outside
Center - inside, on the center
Auto - equals to Outside

The Overlapping Labels property indicates the handling of overlapping labels. Possible values are:

Auto - hides some labels to prevent the overlapping
Show - shows all labels even if the overlapping persists

The line properties in the Label Line section allows you to add the connecting lines between labels and their parent circular sectors. The Label Line Position determines the starting point of the line relative to the sector:

Auto - on the edge
Center - on the center

Action

This properties determine the Interactive Action when a report reader clicks inside a circular slice. You can use bound field references to pass parameters in a drill-through report or configure a dynamic bookmark or URL. The field value is evaluated in the scope of the current detail. Visit the Drill-Through Reports Walkthrough for more information. It explains how to set up the drill-through column plot, but the same technique is applicable for a pie plot.

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